Returns an attribute of the node by key. If no attribute for such key exists, a `nullptr` is returned.

Methods for accessing and manipulating the Shape of the parameters.

Solve (exact or approx) `R` (batch) systems of equations: `A X = rhs`. The returned `Tensor` will be close to an exact solution if `A` is well

Similar rationale to the zip-in_place functions, but callers only actually need the ZIP1 or ZIP2 asm instruction results.

Generates a SparseTensor. Args: data: Should be a list of list of strings or int64. Each item of the outer list represents a batc

Generates a SparseTensor. Args: data: Should be a list of list of strings or int64. Each item of the outer list represents a batc

Provide default_value() to arg list

Return histogram of values. Given the tensor `values`, this operation returns a rank 1 histogram counting the number of entries in `values` t

Returns the options for this dataset and its inputs. Returns: A `tf.data.Options` object representing the dataset options.

The output tensors of this subgraph view.

Mirror a tensor on one device to all worker devices. Args: tensor: A Tensor value to broadcast. destinations: A mirrored variable or

Increments this variable until it reaches `limit`. When that Op is run it tries to increment the variable by `1`. If incrementing the variabl

Make {@link #run()} return the output of {@code operation}. @param operation Is either the string name of the operation, in which case this method is

Methods for accessing the tuple subshapes. This field only non-empty for tuple shapes.

Converts a float value into a signed eight-bit quantized value.

Run `fn` on each replica, with the given arguments. Executes ops specified by `fn` on each replica. If `args` or `kwargs` have "per-replica"

Gets model output details. Returns: A list of output details.

Return the hyperparameter values as a Python dictionary. Returns: A dictionary with hyperparameter names as keys. The values are the

Wrapper function factory invoked by decorator magic.

Returns the location of the current token.

Enqueues a Parameter op onto the computation. Args: value: a Numpy array, or a nested tuple thereof, from which the shape is inferr

Return the crc32c of data[0,n-1]

Raises an exception if `self` is not compatible with the given `rank`. Args: rank: An integer. Raises: ValueError: If `self` doe

Shannon entropy in nats.

Finalizes quantile summary stream and resets it for next iteration. Args: stamp_token: Expected current token. next_stamp_token: Next